IDEAS home Printed from https://ideas.repec.org/a/plo/pgph00/0001187.html
   My bibliography  Save this article

Risk factors for SARS-CoV-2 related mortality and hospitalization before vaccination: A meta-analysis

Author

Listed:
  • Hannah N Marmor
  • Mindy Pike
  • Zhiguo (Alex) Zhao
  • Fei Ye
  • Stephen A Deppen

Abstract

The literature remains scarce regarding the varying point estimates of risk factors for COVID-19 associated mortality and hospitalization. This meta-analysis investigates risk factors for mortality and hospitalization, estimates individual risk factor contribution, and determines drivers of published estimate variances. We conducted a systematic review and meta-analysis of COVID-19 related mortality and hospitalization risk factors using PRISMA guidelines. Random effects models estimated pooled risks and meta-regression analyses estimated the impact of geographic region and study type. Studies conducted in North America and Europe were more likely to have lower effect sizes of mortality attributed to chronic kidney disease (OR: 0.21, 95% CI: 0.09–0.52 and OR: 0.25, 95% CI: 0.10–0.63, respectively). Retrospective studies were more likely to have decreased effect sizes of mortality attributed to chronic heart failure compared to prospective studies (OR: 0.65, 95% CI: 0.44–0.95). Studies from Europe and Asia (OR: 0.42, 95% CI: 0.30–0.57 and OR: 0.49, 95% CI: 0.28–0.84, respectively) and retrospective studies (OR: 0.58, 95% CI: 0.47–0.73) reported lower hospitalization risk attributed to male sex. Significant geographic population-based variation was observed in published comorbidity related mortality risks while male sex had less of an impact on hospitalization among European and Asian populations or in retrospective studies.

Suggested Citation

  • Hannah N Marmor & Mindy Pike & Zhiguo (Alex) Zhao & Fei Ye & Stephen A Deppen, 2022. "Risk factors for SARS-CoV-2 related mortality and hospitalization before vaccination: A meta-analysis," PLOS Global Public Health, Public Library of Science, vol. 2(11), pages 1-19, November.
  • Handle: RePEc:plo:pgph00:0001187
    DOI: 10.1371/journal.pgph.0001187
    as

    Download full text from publisher

    File URL: https://journals.plos.org/globalpublichealth/article?id=10.1371/journal.pgph.0001187
    Download Restriction: no

    File URL: https://journals.plos.org/globalpublichealth/article/file?id=10.1371/journal.pgph.0001187&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pgph.0001187?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lara Jehi & Xinge Ji & Alex Milinovich & Serpil Erzurum & Amy Merlino & Steve Gordon & James B Young & Michael W Kattan, 2020. "Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Isabella Sala & Carlotta Micaela Jarach & Vincenzo Bagnardi & Maria Sofia Cattaruzza & Michela Morri & Paolo Ottogalli & Vincenzo Zagà & Silvano Gallus & Antonio Boschini, 2023. "SARS-CoV-2 Infection in San Patrignano, the Largest European Drug Rehabilitation Community," IJERPH, MDPI, vol. 20(3), pages 1-9, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pgph00:0001187. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: globalpubhealth (email available below). General contact details of provider: https://journals.plos.org/globalpublichealth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.